Numerical Simulation of Seed-Movement Characteristics in New Maize Delivery Device

The delivery device is one of the key components in ensuring uniform grain spacing and achieving high-speed precision seeding. In this paper, a new type of high-speed airflow-assisted delivery device for maize is presented. The gas–solid flow in the delivery device was numerically studied by the coupling method of CFD and DEM. The influence of the structural parameters of the delivery device on the movement of the seeds and the airflow field was analyzed in detail. The matching relationship between the inlet-airflow velocity and the operating speed of the seeder was explored. The results show that the position of the intake seed chamber mainly affects the negative pressure in the distribution area of the mixing chamber. The increase in the shrinkage angle results in the decrease in pressure loss and the decrease in airflow velocity in the delivery chamber. As the diffusion angle increases, the airflow forms a stable straight jet flow and the airflow velocity in the delivery chamber increases. As the ejection angle increases, the bouncing degree of the seed decreases, thereby ensuring the consistency of the seed-ejection direction. The research results show that, when the intake seed chamber is located in the middle, the shrinkage angle is 70°, the diffusion angle is 30°, and the exit angle is 60°, the air-assisted delivery device has better performance. With the increase in inlet wind speed, the seed-ejection speed can also be increased according to a certain proportion, which can meet the requirements of zero-speed seeding and ensure the uniformity of seed spacing, providing a new seed delivery scheme. In the future, if invasive damage to the seed shell is guaranteed to be minimized in high-speed airflow, the new delivery device can meet the requirements of precision seeding under high-speed conditions.

[1]  Peng Liu,et al.  A noncontact self-suction wheat shooting device for sustainable agriculture: A preliminary research , 2022, Comput. Electron. Agric..

[2]  Dong He,et al.  DEM – CFD coupling simulation and optimization of a self-suction wheat shooting device , 2021 .

[3]  Zongyan Zhou,et al.  DEM study of particle motion in novel high-speed seed metering device , 2021 .

[4]  V. Demir,et al.  Comparison of computational fluid dynamics-based simulations and visualized seed trajectories in different seed tubes , 2020 .

[5]  Ying Chen,et al.  Coupled CFD-DEM Simulation of Seed Flow in an Air Seeder Distributor Tube , 2020, Processes.

[6]  Jianqun Yu,et al.  A study on the modelling method of maize-seed particles based on the discrete element method , 2020 .

[7]  C. Coetzee Calibration of the discrete element method: Strategies for spherical and non-spherical particles , 2020 .

[8]  A. Yu,et al.  CFD-DEM Simulation of Large-Scale Dilute-Phase Pneumatic Conveying System , 2020, Industrial & Engineering Chemistry Research.

[9]  Yunxia Wang,et al.  DEM-CFD coupling simulation and optimization of an inside-filling air-blowing maize precision seed-metering device , 2018, Comput. Electron. Agric..

[10]  L. Ren,et al.  An approach to and validation of maize-seed-assembly modelling based on the discrete element method , 2018 .

[11]  Zhang Dongxing,et al.  Effect of travel speed on seed spacing uniformity of corn seed meter , 2017 .

[12]  Xiaolong Lei,et al.  Simulation of seed motion in seed feeding device with DEM-CFD coupling approach for rapeseed and wheat , 2016, Comput. Electron. Agric..

[13]  V. Akbarzadeh,et al.  Coupled CFD-DEM of particle-laden flows in a turning flow with a moving wall , 2016, Comput. Chem. Eng..

[14]  Zhang Dongxing,et al.  Global overview of research progress and development of precision maize planters , 2016 .

[15]  Zhang Dongxing,et al.  Calibration method of contact characteristic parameters for corn seeds based on EDEM , 2016 .

[16]  Peichao Li,et al.  Experimental and numerical studies of the jet tube based on venturi effect , 2015 .

[17]  Ali Hassanpour,et al.  A comparative analysis of particle tracking in a mixer by discrete element method and positron emission particle tracking , 2015 .

[18]  Haim Kalman,et al.  DEM–CFD simulation of particle comminution in jet-mill , 2014 .

[19]  Liu Lin Numerical Simulation on Resistance Loss and Structure Optimization of CFB-FGD Venturi Tube , 2013 .

[20]  R. Kačianauskas,et al.  Investigation of adequacy of multi-sphere approximation of elliptical particles for DEM simulations , 2010 .

[21]  S. Ben Nasrallah,et al.  Experimental investigation of turbulence modulation in particle-laden coaxial jets by Phase Doppler Anemometry , 2009 .

[22]  Senhorinha F. C. F. Teixeira,et al.  Experiments in a large-scale venturi scrubber: Part I: Pressure drop , 2009 .

[23]  W. Jitschin,et al.  Gas flow measurement by means of orifices and Venturi tubes , 1999 .